This section provides step-by-step guidance for getting started with data governance – how to assess the current situation, establish goals, and create a roadmap tailored to the agency’s needs. There ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

For decades, data governance in regulated financial institutions has rested on a familiar foundation. Policies are documented ...

AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

Data has transitioned from a secondary consideration to the backbone of business metamorphosis, tailored mainly by the opportunities engendered by artificial intelligence. In contradistinction, data ...

AI—both generative and machine learning/statistical—is essentially dead in the water without well-vetted, timely, quality data. This is holding back AI efforts more than anticipated, a recent survey ...

Procurement teams facing tighter budgets and higher expectations in 2026 can unlock real value from AI by focusing on practical, modular use cases—GenAI… Finish the year with a clearer view of the ...

Many US companies still resist recognizing data governance and structured management as a value center, but the regulatory ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.

The addition of Okera’s data governance technology to the Databricks Lakehouse Platform will boost data protection and governance for AI and machine learning tasks. Data lakehouse platform developer ...